每小时直方图-Matplotlib [英] Histogram per hour - matplotlib
本文介绍了每小时直方图-Matplotlib的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在分析有关英国交通事故的公共数据.
I'm analyzing public data on transport accidents in the UK.
我的数据框如下:
Index Time
0 02:30
1 00:37
2 01:25
3 09:15
4 07:53
5 09:29
6 08:53
7 10:05
我正在尝试绘制直方图,以显示一天中不同时间的事故分布, 这是我的代码:
I'm trying to plot a histogram showing accident distribution by time of day, here is my code :
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import datetime as dt
import matplotlib.dates as mdates
df['hour']=pd.to_datetime(df['Time'],format='%H:%M')
df.set_index('hour', drop=False, inplace=True)
df['hour'].groupby(pd.Grouper(freq='60Min')).count().plot(kind='bar', color='b')
这是输出:
在此图中,我想将x轴上的标签更改为格式"hh:mm".我将如何去做?
In this graph, I'd like to change the labels on the x-axis to the format 'hh:mm'. How would I go about doing this?
推荐答案
您缺少的是设置matplotlib x轴格式的格式:
What you are missing is setting the format of the matplotlib x-axis format:
df.set_index('hour', drop=False, inplace=True)
df = df['hour'].groupby(pd.Grouper(freq='60Min')).count()
ax = df.plot(kind='bar', color='b')
ticklabels = df.index.strftime('%H:%Mh')
ax.xaxis.set_major_formatter(matplotlib.ticker.FixedFormatter(ticklabels))
plt.show()
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